Training in progress epoch 16

README.md

@@ -14,14 +14,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0573
-- Train Dice Coef: 0.8525
-- Train Iou: 0.7458
-- Validation Loss: 0.0474
-- Validation Dice Coef: 0.8817
-- Validation Iou: 0.7897
+- Train Loss: 0.0565
+- Train Dice Coef: 0.8520
+- Train Iou: 0.7456
+- Validation Loss: 0.0459
+- Validation Dice Coef: 0.8850
+- Validation Iou: 0.7948
 - Train Lr: 1e-04
-- Epoch: 15
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.0637     | 0.8383          | 0.7257    | 0.0515          | 0.8772               | 0.7828         | 1e-04    | 13    |
 | 0.0601     | 0.8462          | 0.7367    | 0.0498          | 0.8765               | 0.7814         | 1e-04    | 14    |
 | 0.0573     | 0.8525          | 0.7458    | 0.0474          | 0.8817               | 0.7897         | 1e-04    | 15    |
+| 0.0565     | 0.8520          | 0.7456    | 0.0459          | 0.8850               | 0.7948         | 1e-04    | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df9d75271700c53bd059fca19a03e7c6c1eadb8d0f8e381da8c23f1370d32308
+oid sha256:da3f46f139f9912e5d8f876cc1c8c79e390498ad264f81373f311679baebf940
 size 15133664